VP, Product Analytics

crypto; Singapore; On-site; SGD 280,000 - 420,000; Full time

Job summary

crypto is seeking a hands-on VP of Product Analytics to lead the analytics function and build an AI-native analytics operating system across crypto, stocks, and related markets. You will set the analytics strategy, guide a high-impact team, and ensure data informs product and business decisions at executive level.

This player-coach role requires reviewing PRs, guiding data modeling and pipeline design, and challenging analytical conclusions while owning reporting, experimentation, and release

Qualifications

• Executive-level experience in product analytics and data-driven decision making.
• Experience building and leading a product analytics team.
• Hands-on in data modeling, pipeline design, and reviewing PRs.
• Familiarity with analytics stacks and release measurements.

Responsibilities

• Set analytics strategy across crypto, stocks, prediction markets, perpetuals, and stock futures.
• Lead and develop the Product Analytics team; act as player-coach.
• Own product and business reporting, experimentation, and impact analysis.
• Oversee Amplitude data stack and scalable analytics delivery.

Skills

Product Analytics

Leadership

Data Modeling

Amplitude

Tools

Amplitude

Job description

We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks, prediction markets, perpetuals, and stock futures products.

You will set the analytics strategy, lead and develop the Product Analytics team, and ensure data consistently shapes product and business decisions. This is a player-coach role: you will operate at executive level while remaining technically close enough to review PRs, guide data modeling and pipeline design, and challenge analytical conclusions.

You will own product and business reporting, experimentation, release measurement, diagnostic analysis, the Amplitude data stack, and the systems through which analytics work is delivered at scale.